2025-12-09 21:34:24

The backbone of this entire setup? A multi-agent framework that doubles as both runtime and control plane.

Enterprises today face a clear challenge: they need to ship AI products, deploy them as secure containerized services within their own cloud infrastructure, and oversee their agentic systems through an intuitive management interface. Testing, monitoring, staying in control—none of it's trivial.

That's exactly where frameworks like these come in. More moving parts, sure, but also more control.

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blocksnark

· 3h ago

Is a multi-agent framework a dual-purpose system? It sounds a bit complicated, but companies really have to operate this way to avoid being overwhelmed by AI.

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BrokeBeans

· 12-11 21:41

Is the multi-agent framework used as runtime and control plane at the same time? This architecture is really powerful, but the complexity also skyrockets.

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OnchainHolmes

· 12-09 22:01

This whole multi-agent framework thing, to put it bluntly, still depends on real-world implementation... The pain points are indeed obvious on the enterprise side, but this idea of "more control" always feels a bit vague. In actual operation, it might turn out to be something entirely different.

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GasFeeWhisperer

· 12-09 21:57

The multi-agent framework sounds very appealing, but will it end up being another explosion of complexity when actually used...

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Whale_Whisperer

· 12-09 21:53

The multi-agent framework sounds promising, but can it really simplify enterprise deployment processes? It still seems like it would be quite complicated.

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EthSandwichHero

· 12-09 21:39

A multi-agent framework serving as both the runtime and the control plane—this design approach is indeed bold. Enterprises want to deploy AI themselves and control the entire process; the framework may be more complex, but that's the price to pay. Without control, who would dare to use it?

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